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Owlin publishes language model with scientists from Stanford and Edinburgh's University

Did you ever wonder how Owlin is able to gather articles from a number of
languages and sort them by subject? This is made possible in part by a
statistical language model
developed by Owlin in cooperation with scientists from Stanford University and
Edinburgh University. The 5.6 terabyte model, which brings natural language
processing to a new level, is now the subject of a scientific
article written by Owlin’s Bas van
Ooyen with co-developers Christian Buck of the University of Edinburgh and
Kenneth Heafield of Stanford University and presented last week at the
Language Resources and Evaluation Conference in Reykjavik Iceland.